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In the process of bidding for construction project, the winning bid is often determined by experts who assess bids in their marks, which have a strong subjective element. So there is the possibility to control who will be the winning bidder. This paper introduces the multi-layer feed forward back propagation (BP) neural network which belong to the artificial neural network (ANN) system to design a...
This paper innovatively proposes a hybrid intelligent system combining fuzzy comprehensive assessment approach and artificial neural network (ANN) that predicts the safety performance of construction site for breaking through the limitations of conventional method. And also inducts the sensibility analysis to discriminate the importance of each index in the assessment index system. The effectiveness...
Tax assessment is an important and complex task in tax administration. A large number of data is involved in the process. Hence, a scientific model is in demanding. In this paper, we present a model which integrates the ant colony algorithm into artificial neural network to improve the performance of neural network in judgment of whether the taxpayer is credible. In details, we use ant colony algorithm...
The artificial neural network (ANN) is a frontier theory of complex non-linearity scientific and artificial intelligence science. At present, the theory is seldom used for urban land suitability evaluation. It is a new method that combines geographic information system (GIS) and artificial neural network technology together. In order to evaluate urban land suitability properly, a new analysis index...
The IT projects risk assessment is a focus problem of the practice and theories research of IT project management. In this paper, a set of index system of IT project risk assessment is established. Based on the index system, an integration classifier with GCPSO-based artificial neural network is established to assess IT projects risk in project management. At last, an experiment is given and BP neural...
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